Agent skill

Nature Social Science

by Yuan1z0825 in Yuan1z0825/nature-skills

社会科学及相邻学科学术写作与选题论证工作台,覆盖选题构思、文献梳理、论证组织、学术表达四大要素。Use for 找论文题目/研究问题、把兴趣或宽泛主题变成可讨论的研究方向、文献综述与领域版图、区分"研究少"与真正未决的知识问题、设计证据路线与主张边界、新颖性审计与"审稿人2"式攻击、博士/论文可行性评估、导师沟通话术、或检查论文中的过度断言与概念混用。也适用于开题报告、研究计划书、学位论文的选题…

Apache-2.0Auto-check passed

Install Nature Social Science

skills CLI
$ npx skills add Yuan1z0825/nature-skills --skill nature-social-science -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Yuan1z0825/nature-skills nature-social-science --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nature-social-science .claude/skills/nature-social-science && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nature-social-science
GitHub stars
47k
Token cost
~1.6k tokens
SKILL.md length
484 words
Files
14 (incl. references)
Skills in repo
23
Repo updated
First seen
Licence
Apache-2.0

At a glance

社会科学及相邻学科学术写作与选题论证工作台,覆盖选题构思、文献梳理、论证组织、学术表达四大要素。Use for 找论文题目/研究问题、把兴趣或宽泛主题变成可讨论的研究方向、文献综述与领域版图、区分"研究少"与真正未决的知识问题、设计证据路线与主张边界、新颖性审计与"审稿人2"式攻击、博士/论文可行性评估、导师沟通话术、或检查论文中的过度断言与概念混用。也适用于开题报告、研究计划书、学位论文的选题…

  • Works in 4 steps: 不知道的地方写"未知",不要让 AI 补猜。 → 主动找矛盾、零结果、反向关系和替代解释——不是找支持起点的材料。 → 保留证据层级、证据状态、失败搜索和关键未知,不把它们抹平成一个乐观结论。 → …
  • SKILL.md covers 一、先做路由:用户在哪个环节?, 二、四条铁律(每条回复都要守), 三、十二个判断(写作自检红线) and 四、八步工作流一页速览, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Nature Social Science is an agent skill from Yuan1z0825/nature-skills. 社会科学及相邻学科学术写作与选题论证工作台,覆盖选题构思、文献梳理、论证组织、学术表达四大要素。Use for 找论文题目/研究问题、把兴趣或宽泛主题变成可讨论的研究方向、文献综述与领域版图、区分"研究少"与真正未决的知识问题、设计证据路线与主张边界、新颖性审计与"审稿人2"式攻击、博士/论文可行性评估、导师沟通话术、或检查论文中的过度断言与概念混用。也适用于开题报告、研究计划书、学位论文的选题阶段与论证自检。

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including reference files (for example `README.md`, `README_EN.md` and `agents/openai.yaml`).

The repository describes itself as: 符合nature论文学术表达和科研绘图的Skill. The licence is Apache-2.0.

Example prompts

  • “与真正未决的知识问题、设计证据路线与主张边界、新颖性审计与”
  • “/nature-social-science”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 不知道的地方写"未知",不要让 AI 补猜。
  2. 主动找矛盾、零结果、反向关系和替代解释——不是找支持起点的材料。
  3. 保留证据层级、证据状态、失败搜索和关键未知,不把它们抹平成一个乐观结论。
  4. 每步结束后更新 Current Research State,不要把整段旧对话带进下一步。

What it can do on your machine

Read from SKILL.md and the folder at commit e605b35. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nature Social Science loads about 1.6k tokens when it runs, and up to ~58k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 484 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~58k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Yuan1z0825/nature-skills at commit e605b35, republished under its Apache-2.0 licence (© Yuan1z0825). 484 words, ~1,608 tokens.

Download SKILL.mdSave it as .claude/skills/nature-social-science/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
nature-social-science
description
社会科学及相邻学科学术写作与选题论证工作台,覆盖选题构思、文献梳理、论证组织、学术表达四大要素。Use for 找论文题目/研究问题、把兴趣或宽泛主题变成可讨论的研究方向、文献综述与领域版图、区分"研究少"与真正未决的知识问题、设计证据路线与主张边界、新颖性审计与"审稿人2"式攻击、博士/论文可行性评估、导师沟通话术、或检查论文中的过度断言与概念混用。也适用于开题报告、研究计划书、学位论文的选题阶段与论证自检。
metadata.author
community contribution, adapted from the "Finding a PhD Topic with Codex" workflow

Nature Social Science — 社科写作与选题论证工作台

本技能将社科硕博科研选题可落地工作流(源自《Finding a PhD Topic with Codex》一文的思想)转成一套可执行的写作与自检流程,覆盖定量、质性、民族志、档案、文件、语料和数字研究。

适用范围:社会科学及相邻人文学科。定量、质性、民族志、档案、文件、语料和数字研究都能用。 判断标准始终相同:问题是否清楚,证据是否匹配,主张是否诚实,项目是否能由这名研究者完成。

不做什么:不替你生成一个"正确题目",不保证新颖、录取、资助、发表或论文成功, 不把某种方法当作高质量研究的默认答案。AI 的自信不是证据;填完的表格不是通关证明。


一、先做路由:用户在哪个环节?

用户诉求对应要素走哪几步读哪些参考
"我想研究 XX"/"帮我找个论文题目"选题构思Step 1 → 2 → 301-foundations.md、02-workflow-steps1-3.md
"这方向有人做过吗"/文献怎么梳理/版图怎么画文献梳理Step 2 → 302-workflow-steps1-3.md
"我有数据/我想用方法 M"选题构思(假起点)先回 Step 101-foundations.md §六 Two false starts
"这个题目能不能做"/证据够不够论证组织 + 可行性Step 4 → 703-workflow-steps4-5.md、04-workflow-steps6-8.md
"帮我生成几个研究问题"/RQ 怎么写选题构思Step 503-workflow-steps4-5.md
"帮我想想审稿人会怎么攻击"/查新颖性论证组织Step 604-workflow-steps6-8.md
"结论是不是说过头了"/表述定级学术表达Step 4 的 claim ceiling + 术语纪律09-academic-expression.md、07-status-terminology.md
"帮我改稿/润色论证段落"学术表达对照 claim ceiling 与 Red flags09-academic-expression.md
"怎么跟导师谈"/开题材料怎么写交付使用Part III08-usage-handoff.md
需要现成提示词—按步骤取05-prompt-library.md(唯一权威版本)
需要填表模板—按步骤取06-worksheets.md

入口判断(必做第一步):只有兴趣 → Mode A;已有宽泛主题或关系 → Mode B; 已有暂定研究问题 → Mode C(audit route,不是 advanced route)。 只有数据集或方法偏好时,先问"它能帮助理解什么未决现象",答不出来从 Mode A 开始。


二、四条铁律(每条回复都要守)

  1. 不知道的地方写"未知",不要让 AI 补猜。
  2. 主动找矛盾、零结果、反向关系和替代解释——不是找支持起点的材料。
  3. 保留证据层级、证据状态、失败搜索和关键未知,不把它们抹平成一个乐观结论。
  4. 每步结束后更新 Current Research State,不要把整段旧对话带进下一步。

配套禁止项(写进每一次给出的提示词里):

  • 不要生成选题、题目或假设(在尚未到那一步时);
  • 不要声称存在研究空白或新颖性;
  • 不要默认使用定量、定性、因果或任何特定方法;
  • 不要把"本轮没找到"写成"没有研究";
  • 不要把个人兴趣写成已经得到证明的学术重要性;
  • 不要编造引文、来源或结果。

三、十二个判断(写作自检红线)

任何一次关于选题或论证的判断,先过这张表。完整版见 01-foundations.md §四。

不要混为一谈可操作的检查
Interest ≠ Topic是否已经划出要探索的现象、过程和边界?
Topic ≠ Research problem是否指出领域中具体哪里解释不通?
Research problem ≠ Research question是否把知识困难变成可由证据推进的任务?
Research gap ≠ "few studies"研究少造成了什么知识后果?
Novelty ≠ nobody has studied it是否解决矛盾、机制、测量或新近可回答的问题?
Interesting ≠ Important除了个人兴趣,答案会改变谁对什么的理解?
Important ≠ Answerable是否有合适、合规且时间匹配的证据?
Available source ≠ Valid evidence字段、文本或观察真的对应目标概念吗?
Correlation ≠ Mechanism是否看见过程,还是只看见现象同时出现?
Advanced method ≠ Strong contribution方法是否解决了原来的知识困难?
Feasible study ≠ PhD-worthy project它能否支撑一个核心谜题与连贯发展?
AI judgement ≠ Researcher judgement哪些决定需要用户的价值、经验和导师判断?

四、八步工作流一页速览

Step主产物决策问题Gate
1. Research Search Space一页搜索空间概念与边界是否足以搜索?PASS / REVISE / STOP
2. Research Landscape领域版图是否看见多种问题、解释和反证?同上
3. Unresolved Problems3–7 个问题卡是否存在有后果的知识不确定性?同上
4. Evidence Map1–3 条证据路线是否能观察核心问题并守住主张上限?同上
5. Candidate RQs6–12 张候选卡是否有实质不同、可被攻击的问句?同上(起用 PARK)
6. Academic SurvivalNovelty Audit + Reviewer 2候选是否经学术攻击仍存活?同上
7. PhD Feasibility可行性档案是否没有未处理硬失败,且能发展成博士?同上
8. Final Shortlist最多三张 Topic Cards能否清楚说明取舍和下一项核实?同上

Step 5 会短暂扩展候选、随后收窄,这不是纯线性管道。

回退规则:若设计只能提供弱代理、错误单位或不合适时间 → 返回 Question; 若连问题的知识后果也消失 → 返回 Problem。


Show full SKILL.md (224 more words)Show less

五、五套状态系统(不要合成一个分数)

在问什么用哪套取值
我能进入下一步吗?Workflow GatePASS / REVISE / STOP(+ PARK)
这条证据路线核实到哪了?Evidence StateNAMED / DOCUMENTED / ACCESS-CONFIRMED / TESTED
这条候选经学术攻击后怎样?Academic SurvivalSURVIVE / REDESIGN / PARK / REJECT
这项硬条件现在什么状态?PhD Feasibility DependencyCONFIRMED / RESOLVABLE DEPENDENCY / UNKNOWN / FAIL
这条候选能进最终比较吗?PhD Feasibility DispositionPROCEED TO COMPARISON / REDESIGN / PARK / REJECT

六条不许抹平的不等式:

  • UNKNOWN ≠ PASS — 未知需要核实动作,不是乐观解释。
  • DOCUMENTED ≠ ACCESS-CONFIRMED — 官方文件说来源存在,不等于用户已满足资格、许可、地点、费用和伦理条件。
  • SURVIVE ≠ novel — 通过一次有界攻击,不等于证明全世界没有近似研究。
  • PARK ≠ bad idea — 缺的是决定性证据或条件,不是想法本身。
  • PASS ≠ permanent approval — 新文献、访问变化、伦理意见、实测结果都可能把它变成 REVISE 或 STOP。
  • REJECT ≠ wasted work — 拒绝记录保存了最近似工作、失败条件和边界,能阻止以后重复同一错误。

不要创建"综合状态"。 一条候选完全可以同时是: Step 6 SURVIVE、证据 DOCUMENTED、访问依赖 UNKNOWN、Step 7 处置 PARK、本步 Gate REVISE。 这些标签并不矛盾,它们回答不同问题。详见 07-status-terminology.md。


六、工作节奏(每一步重复这五拍)

  1. 读当前章节,确认本步的目的和 Gate;
  2. 在 05-prompt-library.md 找到对应 prompt,只准备 Required input;
  3. 把输出写进 06-worksheets.md 里的对应表格,不把长对话当作最终记录;
  4. 用质量检查和 Red flags 审阅结果;需要真人判断时停下;
  5. 更新 Current Research State,再按 08-usage-handoff.md 进入下一步或暂时退出。

上下文控制:每次转段只带 Carry forward 的内容,主动丢弃 Leave behind。 08-usage-handoff.md 给出了九次交接各自该带什么、丢什么、哪项判断必须由用户作出、 以及哪类未知会阻塞推进。


七、什么时候必须停下来找真人

当你无法判断争论在本学科中的分量、关键全文或资料说明无法取得、研究涉及敏感参与者或高风险材料、 方法学习成本不清楚,或项目依赖某位导师、机构与资料提供者时——把当前卡片交给合适的人。

AI 可以帮你准备问题,不能替他们授权。

需要交给真人的典型场景与方法,见 08-usage-handoff.md 与 01-foundations.md §五「什么时候找真人」。


八、使用约定

  • 提示词里的称谓:05-prompt-library.md 中的提示词为逐字保留原件,正文里自称"我正在使用 Codex"。 直接复制即可;若在别的 agent 里使用,可把 Codex 替换为当前助手的名字,其余一字不改。
  • 提示词的唯一权威版本是 05-prompt-library.md。各步骤文件里的"短预览"只作说明,不要另造一版并行维护。
  • Quick / Deep 分层:Step 2、4、6、7 提供 Quick Run 与 Deep Run 两档。 Quick Run 减少首轮工作量,不降低证据、伦理、访问或 hard-failure 标准。
  • 不要把长对话当记录:所有结论必须落进 06-worksheets.md 的对应表格与 Current Research State。
  • 不确定的一律写"未知",不要接受任何一方(包括你自己)的乐观补全。

九、参考文件索引

以下九个文件均位于本 skill 的 references/ 目录下,按需只读当前步骤需要的那个。

文件内容
01-foundations.md核心概念、六个易混概念、十二个判断、能力边界、证据层级、三种入口模式、Gate 定义、Funnel
02-workflow-steps1-3.mdStep 1 搜索空间 / Step 2 领域版图(文献梳理核心)/ Step 3 未决问题
03-workflow-steps4-5.mdStep 4 证据地图与 claim ceiling / Step 5 候选研究问题
04-workflow-steps6-8.mdStep 6 学术攻击(Novelty Audit + Reviewer 2)/ Step 7 可行性 / Step 8 最终短名单
05-prompt-library.md全部可复制提示词(唯一权威版本)
06-worksheets.md11 份工作表模板
07-status-terminology.md五套状态系统 + 术语小词典 + Current Research State
08-usage-handoff.md短名单使用、导师沟通、九次交接、恢复规则
09-academic-expression.md学术表达纪律:主张上限、动词与证据相称、诚实措辞句式表、各步 Red flags(起草与改稿时必读)

使用时只做四件事:不知道的写"未知";要求找反证;保留证据层级与失败记录;每步更新状态表。

© Yuan1z0825, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 13 other files (references) in skills/nature-social-science of Yuan1z0825/nature-skills.

  • SKILL.md
  • README.md
  • README_EN.md
  • agents/openai.yaml
  • manifest.yaml
  • references/01-foundations.md
  • references/02-workflow-steps1-3.md
  • references/03-workflow-steps4-5.md
  • references/04-workflow-steps6-8.md
  • references/05-prompt-library.md
  • references/06-worksheets.md
  • references/07-status-terminology.md
  • references/08-usage-handoff.md
  • references/09-academic-expression.md

Open the folder on GitHubat commit e605b35

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    47k GitHub starsUsed in 1 repo~1.1k tokens
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  • Nature Literature Downloader

    Yuan1z0825/nature-skills

    Routes literature requests to lawful full-text sources: open access, publisher APIs, CNKI and institutional browser access, with a supporting-information gate.

    47k GitHub starsUsed in 2 repos~6k tokens
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  • Image to Editable PPTX

    Yuan1z0825/nature-skills

    Rebuilds slide images, screenshots, scanned PDFs or image-only PPTX files as PowerPoint with editable objects, using a local CLI with per-page manifests and QA.

    47k GitHub stars~2.5k tokensUpdated today
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Questions about Nature Social Science

What does Nature Social Science do?

社会科学及相邻学科学术写作与选题论证工作台,覆盖选题构思、文献梳理、论证组织、学术表达四大要素。Use for 找论文题目/研究问题、把兴趣或宽泛主题变成可讨论的研究方向、文献综述与领域版图、区分"研究少"与真正未决的知识问题、设计证据路线与主张边界、新颖性审计与"审稿人2"式攻击、博士/论文可行性评估、导师沟通话术、或检查论文中的过度断言与概念混用。也适用于开题报告、研究计划书、学位论文的选题…. Nature Social Science is an agent skill from Yuan1z0825/nature-skills.

How do I install Nature Social Science in Claude Code?

Run `npx skills add Yuan1z0825/nature-skills --skill nature-social-science -a claude-code`. Or copy the skill folder (skills/nature-social-science in Yuan1z0825/nature-skills) into .claude/skills/nature-social-science in your project. Claude Code loads it when a task matches its description.

How do I install Nature Social Science in Codex?

Run `npx skills add Yuan1z0825/nature-skills --skill nature-social-science -a codex`. Or copy the skill folder (skills/nature-social-science in Yuan1z0825/nature-skills) into .agents/skills/nature-social-science in your project. Codex loads it when a task matches its description.

Can I use Nature Social Science in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Yuan1z0825/nature-skills --skill nature-social-science -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-social-science, .gemini/skills/nature-social-science, .github/skills/nature-social-science and .opencode/skills/nature-social-science in your project.

What does Nature Social Science need to run?

SKILL.md names no scripts, command-line tools or credentials: Nature Social Science is instructions for the agent only.

Does Nature Social Science access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nature Social Science safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Nature Social Science use?

Nature Social Science is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nature Social Science use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 56k tokens, read only when the agent opens those files.

What are the alternatives to Nature Social Science?

Skills that share tags, products or a category with Nature Social Science: Mixed Methods Instrument Design (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nature Social Science?

Yuan1z0825 (a GitHub user) maintains it in Yuan1z0825/nature-skills, which has 47,222 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 11, 2026.

Source: Yuan1z0825/nature-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.